Poster Abstract: Firework: Big Data Processing in Collaborative Edge Environment
Quan Zhang, Xiaohong Zhang, Weisong Shi · 2016
In this work, we envision that in the era of IoT, the demand of distributed big data sharing and processing will dramatically increase since the data producing and consuming are pushed to the edge of the network. To facilitate data sharing and processing in collaborative edge environment (CEE), we propose a new computing paradigm, Firework, that enables distributed data sharing and processing for big data applications while keeping the computation within stakeholders' data facilities. Firework fuses geographically distributed data by creating virtual shared data views that are exposed to end users via predefined interfaces by data owners. The interfaces are provided in the form of a set of data and a set of functions, in which the functions are bound to the data. By pushing the data processing as close as to data producers, Firework also aims to avoid data movement from the edge of the network to clouds and reduces the response latency.